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. 2021 Apr 7;11:7590. doi: 10.1038/s41598-021-87037-w

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© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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(A) The log ratio of closeness centrality (RCC) between normal and tumor samples for the proposed potential biomarkers in Esophageal cancer. (B) The log ratio of closeness centrality (RCC) between normal and tumor samples for the proposed potential biomarkers in Stomach cancer. (C) Comparison of ROC curves with features of the leading up-regulated genes, the leading down-regulated genes and the random selected genes for classification of tumor and normal samples in esophageal cancer. The dashed blue line in the diagonal presents the ROC curve of a random predictor, which has an AUC of 0.5 and can be used as the baseline to validate the effectiveness of our models. The mean AUC scores of the SVM models based on the up-regulated genes and the down-regulated genes are 0.9941 (standard deviation: 0.0031) and 0.9788 (standard deviation: 0.0265), respectively. The mean AUC of the comparison group, which uses the random selected genes, has the lowest score 0.9280 (standard deviation: 0.1137). (D) Comparison of ROC curves with features of the leading up-regulated genes, the leading down-regulated genes and the random selected genes for classification of tumor and normal samples in stomach. The dashed blue line in the diagonal presents the ROC curve of a random predictor, which has an AUC of 0.5 and can be used as the baseline to validate the effectiveness of our models. The mean AUC scores of the SVM models based on the up-regulated genes and the down-regulated genes are 0.9924 (standard deviation: 0.0038) and 0.9770 (standard deviation: 0.0114), respectively. The mean AUC of the comparison group, which uses the random selected genes, has the lowest score 0.5603 (standard deviation: 0.1664).